[HTML][HTML] Landslide susceptibility map** using machine learning: A literature survey

M Ado, K Amitab, AK Maji, E Jasińska, R Gono… - Remote Sensing, 2022 - mdpi.com
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

[HTML][HTML] Digital post-disaster risk management twinning: A review and improved conceptual framework

U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …

[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …

HT Hang, J Mallick, S Alqadhi, AA Bindajam… - … Technology & Innovation, 2024 - Elsevier
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …

LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction

A Raza, AM Qadri, I Akhtar, NA Samee… - IEEE …, 2023 - ieeexplore.ieee.org
Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …

Novel ensemble machine learning modeling approach for groundwater potential map** in Parbhani District of Maharashtra, India

M Masroor, H Sajjad, P Kumar, TK Saha, MH Rahaman… - Water, 2023 - mdpi.com
Groundwater is an essential source of water especially in arid and semi-arid regions of the
world. The demand for water due to exponential increase in population has created stresses …

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms

Z Chen, D Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …

[HTML][HTML] Develo** flood map** procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania

DC Diaconu, R Costache, ARMT Islam… - Journal of Hydrology …, 2024 - Elsevier
Study region Prahova river basin located in the central-southern region of Romania. Study
focus This study aims to assess the susceptibility to flooding by using state-of-the-art …

Game-theoretic optimization of landslide susceptibility map**: a comparative study between Bayesian-optimized basic neural network and new generation neural …

J Mallick, M Alkahtani, HT Hang, CK Singh - Environmental Science and …, 2024 - Springer
Landslide susceptibility map** is essential for reducing the risk of landslides and ensuring
the safety of people and infrastructure in landslide-prone areas. However, little research has …

Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms

N Bhuyan, H Sajjad, TK Saha, Y Sharma, M Masroor… - Catena, 2024 - Elsevier
Riverbank erosion is one of the most catastrophic hazards that renders floodplains
vulnerable across the world vulnerable. It creates a significant negative impact on the …

A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility map** in the west of Iran

Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and map** landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …